LLM-Telugu-English

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 10.0811

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0003
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
16.0382 0.0133 2 10.0968
16.0284 0.0267 4 10.0968
16.0373 0.04 6 10.0968
16.0279 0.0533 8 10.0968
16.0206 0.0667 10 10.0968
15.8569 0.08 12 10.0968
16.0955 0.0933 14 10.0968
16.0921 0.1067 16 10.0967
9.7518 0.12 18 10.0965
8.5846 0.1333 20 10.0964
9.9323 0.1467 22 10.0963
10.0995 0.16 24 10.0963
7.275 0.1733 26 10.0963
5.8267 0.1867 28 10.0963
5.4372 0.2 30 10.0963
5.1436 0.2133 32 10.0964
4.9079 0.2267 34 10.0965
4.852 0.24 36 10.0964
4.7545 0.2533 38 10.0964
4.7705 0.2667 40 10.0964
4.7477 0.28 42 10.0964
4.6624 0.2933 44 10.0964
4.6747 0.3067 46 10.0963
4.6626 0.32 48 10.0962
4.6596 0.3333 50 10.0961
4.6007 0.3467 52 10.0959
4.6465 0.36 54 10.0955
4.6612 0.3733 56 10.0951
4.6591 0.3867 58 10.0947
4.6709 0.4 60 10.0945
4.6325 0.4133 62 10.0944
4.6216 0.4267 64 10.0943
4.5949 0.44 66 10.0941
4.5693 0.4533 68 10.0938
4.6398 0.4667 70 10.0936
4.6496 0.48 72 10.0933
4.6572 0.4933 74 10.0931
4.6251 0.5067 76 10.0928
4.6022 0.52 78 10.0926
4.617 0.5333 80 10.0924
4.5698 0.5467 82 10.0924
4.6706 0.56 84 10.0923
4.6294 0.5733 86 10.0922
4.6366 0.5867 88 10.0921
4.6353 0.6 90 10.0919
4.61 0.6133 92 10.0918
4.574 0.6267 94 10.0918
4.5832 0.64 96 10.0917
4.5756 0.6533 98 10.0916
4.5985 0.6667 100 10.0915
4.6782 0.68 102 10.0913
4.6178 0.6933 104 10.0911
4.6278 0.7067 106 10.0910
4.6471 0.72 108 10.0909
4.6134 0.7333 110 10.0909
4.6147 0.7467 112 10.0909
4.5884 0.76 114 10.0909
4.5797 0.7733 116 10.0910
4.6307 0.7867 118 10.0908
4.6118 0.8 120 10.0908
4.6009 0.8133 122 10.0907
4.6183 0.8267 124 10.0908
4.6316 0.84 126 10.0908
4.6051 0.8533 128 10.0909
4.5876 0.8667 130 10.0909
4.6124 0.88 132 10.0909
4.6158 0.8933 134 10.0908
4.6301 0.9067 136 10.0908
4.6291 0.92 138 10.0907
4.5405 0.9333 140 10.0907
4.6629 0.9467 142 10.0907
4.6154 0.96 144 10.0906
4.5877 0.9733 146 10.0904
4.5802 0.9867 148 10.0901
4.628 1.0 150 10.0898
4.6293 1.0133 152 10.0896
4.5853 1.0267 154 10.0894
4.601 1.04 156 10.0893
4.5251 1.0533 158 10.0892
4.623 1.0667 160 10.0892
4.6481 1.08 162 10.0891
4.5933 1.0933 164 10.0891
4.6093 1.1067 166 10.0891
4.586 1.12 168 10.0891
4.616 1.1333 170 10.0891
4.6209 1.1467 172 10.0891
4.6073 1.16 174 10.0892
4.5257 1.1733 176 10.0892
4.6031 1.1867 178 10.0892
4.6551 1.2 180 10.0890
4.6294 1.2133 182 10.0889
4.5684 1.2267 184 10.0888
4.6752 1.24 186 10.0887
4.5883 1.2533 188 10.0886
4.5744 1.2667 190 10.0886
4.6373 1.28 192 10.0887
4.5754 1.2933 194 10.0887
4.5843 1.3067 196 10.0887
4.6066 1.32 198 10.0887
4.566 1.3333 200 10.0887
4.6126 1.3467 202 10.0888
4.5597 1.3600 204 10.0888
4.5923 1.3733 206 10.0888
4.564 1.3867 208 10.0888
4.5965 1.4 210 10.0887
4.6134 1.4133 212 10.0887
4.5569 1.4267 214 10.0888
4.513 1.44 216 10.0890
4.6599 1.4533 218 10.0891
4.617 1.4667 220 10.0892
4.5619 1.48 222 10.0893
4.5798 1.4933 224 10.0893
4.5828 1.5067 226 10.0892
4.6234 1.52 228 10.0891
4.5794 1.5333 230 10.0889
4.598 1.5467 232 10.0887
4.6553 1.56 234 10.0886
4.5315 1.5733 236 10.0886
4.5766 1.5867 238 10.0885
4.5981 1.6 240 10.0885
4.5947 1.6133 242 10.0884
4.6436 1.6267 244 10.0884
4.6416 1.6400 246 10.0884
4.5788 1.6533 248 10.0883
4.5701 1.6667 250 10.0882
4.5803 1.6800 252 10.0882
4.5786 1.6933 254 10.0881
4.6132 1.7067 256 10.0880
4.5837 1.72 258 10.0880
4.5783 1.7333 260 10.0879
4.5911 1.7467 262 10.0879
4.6083 1.76 264 10.0880
4.5641 1.7733 266 10.0881
4.5856 1.7867 268 10.0881
4.6078 1.8 270 10.0882
4.5068 1.8133 272 10.0884
4.6371 1.8267 274 10.0885
4.6445 1.8400 276 10.0886
4.5809 1.8533 278 10.0888
4.5581 1.8667 280 10.0890
4.5765 1.88 282 10.0891
4.6221 1.8933 284 10.0890
4.5864 1.9067 286 10.0890
4.5659 1.92 288 10.0890
4.6169 1.9333 290 10.0890
4.53 1.9467 292 10.0890
4.5928 1.96 294 10.0889
4.6003 1.9733 296 10.0888
4.6011 1.9867 298 10.0887
4.5634 2.0 300 10.0887
4.5507 2.0133 302 10.0885
4.5613 2.0267 304 10.0885
4.4758 2.04 306 10.0884
4.6313 2.0533 308 10.0884
4.5264 2.0667 310 10.0883
4.6134 2.08 312 10.0882
4.5417 2.0933 314 10.0882
4.6234 2.1067 316 10.0881
4.6044 2.12 318 10.0881
4.5402 2.1333 320 10.0882
4.6112 2.1467 322 10.0882
4.6124 2.16 324 10.0882
4.5199 2.1733 326 10.0881
4.6194 2.1867 328 10.0881
4.5702 2.2 330 10.0882
4.5808 2.2133 332 10.0882
4.6048 2.2267 334 10.0882
4.5472 2.24 336 10.0881
4.4738 2.2533 338 10.0882
4.5582 2.2667 340 10.0883
4.525 2.2800 342 10.0883
4.4719 2.2933 344 10.0883
4.5771 2.3067 346 10.0882
4.6026 2.32 348 10.0881
4.4366 2.3333 350 10.0880
4.579 2.3467 352 10.0879
4.5939 2.36 354 10.0880
4.5725 2.3733 356 10.0880
4.5344 2.3867 358 10.0881
4.5393 2.4 360 10.0882
4.6091 2.4133 362 10.0883
4.5124 2.4267 364 10.0883
4.64 2.44 366 10.0884
4.5627 2.4533 368 10.0885
4.5855 2.4667 370 10.0886
4.5735 2.48 372 10.0886
4.6217 2.4933 374 10.0886
4.594 2.5067 376 10.0886
4.6012 2.52 378 10.0886
4.5389 2.5333 380 10.0886
4.516 2.5467 382 10.0886
4.5175 2.56 384 10.0886
4.5726 2.5733 386 10.0886
4.6047 2.5867 388 10.0886
4.6072 2.6 390 10.0886
4.6195 2.6133 392 10.0885
4.6355 2.6267 394 10.0884
4.5855 2.64 396 10.0883
4.5953 2.6533 398 10.0882
4.5764 2.6667 400 10.0882
4.6618 2.68 402 10.0881
4.5221 2.6933 404 10.0881
4.5367 2.7067 406 10.0880
4.6149 2.7200 408 10.0878
4.5667 2.7333 410 10.0877
4.602 2.7467 412 10.0876
4.6179 2.76 414 10.0874
4.5552 2.7733 416 10.0874
4.5744 2.7867 418 10.0874
4.5643 2.8 420 10.0874
4.6064 2.8133 422 10.0874
4.5532 2.8267 424 10.0874
4.5941 2.84 426 10.0874
4.5489 2.8533 428 10.0874
4.5716 2.8667 430 10.0873
4.6087 2.88 432 10.0871
4.5906 2.8933 434 10.0870
4.5165 2.9067 436 10.0869
4.5758 2.92 438 10.0869
4.5863 2.9333 440 10.0870
4.5932 2.9467 442 10.0871
4.6165 2.96 444 10.0872
4.5882 2.9733 446 10.0872
4.5648 2.9867 448 10.0872
4.5237 3.0 450 10.0873
4.5929 3.0133 452 10.0872
4.5917 3.0267 454 10.0872
4.6049 3.04 456 10.0870
4.525 3.0533 458 10.0870
4.6031 3.0667 460 10.0869
4.5275 3.08 462 10.0867
4.5251 3.0933 464 10.0867
4.4163 3.1067 466 10.0867
4.5475 3.12 468 10.0867
4.5337 3.1333 470 10.0866
4.5883 3.1467 472 10.0865
4.604 3.16 474 10.0863
4.4893 3.1733 476 10.0862
4.5336 3.1867 478 10.0862
4.4472 3.2 480 10.0862
4.562 3.2133 482 10.0862
4.5691 3.2267 484 10.0863
4.5068 3.24 486 10.0864
4.6052 3.2533 488 10.0865
4.5781 3.2667 490 10.0866
4.5791 3.2800 492 10.0867
4.5613 3.2933 494 10.0868
4.5142 3.3067 496 10.0868
4.5974 3.32 498 10.0869
4.5507 3.3333 500 10.0870
4.5754 3.3467 502 10.0871
4.5675 3.36 504 10.0872
4.6126 3.3733 506 10.0872
4.5748 3.3867 508 10.0870
4.5648 3.4 510 10.0869
4.6053 3.4133 512 10.0868
4.5608 3.4267 514 10.0868
4.5124 3.44 516 10.0867
4.4979 3.4533 518 10.0866
4.531 3.4667 520 10.0864
4.6 3.48 522 10.0863
4.5547 3.4933 524 10.0862
4.5892 3.5067 526 10.0861
4.4961 3.52 528 10.0860
4.5425 3.5333 530 10.0859
4.5525 3.5467 532 10.0859
4.4992 3.56 534 10.0859
4.5792 3.5733 536 10.0857
4.5242 3.5867 538 10.0855
4.5448 3.6 540 10.0853
4.596 3.6133 542 10.0850
4.5658 3.6267 544 10.0849
4.5226 3.64 546 10.0847
4.6567 3.6533 548 10.0845
4.516 3.6667 550 10.0844
4.6016 3.68 552 10.0844
4.5729 3.6933 554 10.0843
4.5309 3.7067 556 10.0844
4.522 3.7200 558 10.0845
4.559 3.7333 560 10.0847
4.5039 3.7467 562 10.0850
4.5567 3.76 564 10.0853
4.5233 3.7733 566 10.0855
4.4932 3.7867 568 10.0856
4.4892 3.8 570 10.0856
4.554 3.8133 572 10.0856
4.5995 3.8267 574 10.0853
4.575 3.84 576 10.0851
4.5985 3.8533 578 10.0848
4.6092 3.8667 580 10.0846
4.6077 3.88 582 10.0844
4.5508 3.8933 584 10.0843
4.5553 3.9067 586 10.0842
4.6301 3.92 588 10.0841
4.5424 3.9333 590 10.0840
4.5698 3.9467 592 10.0840
4.5653 3.96 594 10.0841
4.5335 3.9733 596 10.0841
4.5705 3.9867 598 10.0840
4.5201 4.0 600 10.0840
4.5665 4.0133 602 10.0840
4.5797 4.0267 604 10.0840
4.5339 4.04 606 10.0840
4.5259 4.0533 608 10.0841
4.6085 4.0667 610 10.0841
4.5937 4.08 612 10.0840
4.41 4.0933 614 10.0839
4.5135 4.1067 616 10.0838
4.5568 4.12 618 10.0838
4.5801 4.1333 620 10.0838
4.4547 4.1467 622 10.0838
4.5839 4.16 624 10.0838
4.5197 4.1733 626 10.0839
4.4818 4.1867 628 10.0838
4.5705 4.2 630 10.0838
4.4112 4.2133 632 10.0838
4.5893 4.2267 634 10.0838
4.5387 4.24 636 10.0837
4.5602 4.2533 638 10.0837
4.5647 4.2667 640 10.0837
4.4941 4.28 642 10.0837
4.532 4.2933 644 10.0837
4.5477 4.3067 646 10.0836
4.5651 4.32 648 10.0835
4.4803 4.3333 650 10.0835
4.3447 4.3467 652 10.0833
4.5321 4.36 654 10.0832
4.579 4.3733 656 10.0832
4.5805 4.3867 658 10.0832
4.6436 4.4 660 10.0832
4.5647 4.4133 662 10.0833
4.5581 4.4267 664 10.0834
4.6162 4.44 666 10.0835
4.5351 4.4533 668 10.0836
4.5111 4.4667 670 10.0837
4.5522 4.48 672 10.0838
4.4538 4.4933 674 10.0838
4.5385 4.5067 676 10.0837
4.5824 4.52 678 10.0837
4.5651 4.5333 680 10.0836
4.6097 4.5467 682 10.0835
4.5868 4.5600 684 10.0835
4.4651 4.5733 686 10.0834
4.577 4.5867 688 10.0833
4.582 4.6 690 10.0833
4.4836 4.6133 692 10.0832
4.5592 4.6267 694 10.0831
4.2845 4.64 696 10.0831
4.4483 4.6533 698 10.0831
4.4794 4.6667 700 10.0831
4.5373 4.68 702 10.0832
4.4577 4.6933 704 10.0833
4.5491 4.7067 706 10.0834
4.5306 4.72 708 10.0835
4.4774 4.7333 710 10.0835
4.5408 4.7467 712 10.0834
4.5074 4.76 714 10.0834
4.5761 4.7733 716 10.0835
4.5716 4.7867 718 10.0835
4.5962 4.8 720 10.0835
4.5512 4.8133 722 10.0836
4.5461 4.8267 724 10.0836
4.5095 4.84 726 10.0837
4.5244 4.8533 728 10.0837
4.5628 4.8667 730 10.0837
4.5707 4.88 732 10.0836
4.6426 4.8933 734 10.0836
4.5901 4.9067 736 10.0834
4.5143 4.92 738 10.0833
4.5419 4.9333 740 10.0832
4.5359 4.9467 742 10.0831
4.5672 4.96 744 10.0830
4.5234 4.9733 746 10.0831
4.5359 4.9867 748 10.0831
4.4814 5.0 750 10.0832
4.5405 5.0133 752 10.0833
4.5361 5.0267 754 10.0833
4.54 5.04 756 10.0834
4.4954 5.0533 758 10.0833
4.501 5.0667 760 10.0833
4.5501 5.08 762 10.0833
4.4114 5.0933 764 10.0833
4.6391 5.1067 766 10.0833
4.5089 5.12 768 10.0833
4.5715 5.1333 770 10.0833
4.5439 5.1467 772 10.0834
4.5465 5.16 774 10.0836
4.4583 5.1733 776 10.0837
4.5132 5.1867 778 10.0838
4.5779 5.2 780 10.0839
4.4824 5.2133 782 10.0840
4.5093 5.2267 784 10.0841
4.5195 5.24 786 10.0842
4.5647 5.2533 788 10.0842
4.5503 5.2667 790 10.0843
4.5384 5.28 792 10.0843
4.5286 5.2933 794 10.0844
4.555 5.3067 796 10.0844
4.5181 5.32 798 10.0845
4.4931 5.3333 800 10.0844
4.6149 5.3467 802 10.0844
4.5127 5.36 804 10.0844
4.4422 5.3733 806 10.0844
4.5678 5.3867 808 10.0843
4.5638 5.4 810 10.0843
4.5562 5.4133 812 10.0843
4.5514 5.4267 814 10.0843
4.6194 5.44 816 10.0843
4.5126 5.4533 818 10.0843
4.5638 5.4667 820 10.0843
4.5457 5.48 822 10.0843
4.5069 5.4933 824 10.0843
4.5392 5.5067 826 10.0843
4.5215 5.52 828 10.0842
4.5852 5.5333 830 10.0842
4.5284 5.5467 832 10.0842
4.5202 5.5600 834 10.0842
4.4908 5.5733 836 10.0842
4.5339 5.5867 838 10.0842
4.5589 5.6 840 10.0842
4.571 5.6133 842 10.0842
4.5164 5.6267 844 10.0842
4.4746 5.64 846 10.0842
4.5247 5.6533 848 10.0842
4.5632 5.6667 850 10.0842
4.4582 5.68 852 10.0843
4.5055 5.6933 854 10.0842
4.5637 5.7067 856 10.0843
4.5915 5.72 858 10.0843
4.5423 5.7333 860 10.0843
4.4493 5.7467 862 10.0842
4.4397 5.76 864 10.0842
4.5316 5.7733 866 10.0842
4.4764 5.7867 868 10.0843
4.5047 5.8 870 10.0843
4.418 5.8133 872 10.0844
4.4483 5.8267 874 10.0843
4.3434 5.84 876 10.0843
4.5338 5.8533 878 10.0842
4.4638 5.8667 880 10.0841
4.4347 5.88 882 10.0841
4.5513 5.8933 884 10.0840
4.5146 5.9067 886 10.0840
4.5313 5.92 888 10.0840
4.3903 5.9333 890 10.0839
4.506 5.9467 892 10.0839
4.5061 5.96 894 10.0838
4.5077 5.9733 896 10.0837
4.5579 5.9867 898 10.0836
4.5499 6.0 900 10.0836
4.6132 6.0133 902 10.0835
4.5265 6.0267 904 10.0834
4.5288 6.04 906 10.0834
4.5204 6.0533 908 10.0834
4.4766 6.0667 910 10.0833
4.4845 6.08 912 10.0833
4.4996 6.0933 914 10.0832
4.4882 6.1067 916 10.0832
4.4789 6.12 918 10.0831
4.4914 6.1333 920 10.0831
4.4657 6.1467 922 10.0829
4.4977 6.16 924 10.0828
4.5977 6.1733 926 10.0828
4.5537 6.1867 928 10.0828
4.4485 6.2 930 10.0828
4.5043 6.2133 932 10.0828
4.529 6.2267 934 10.0828
4.4851 6.24 936 10.0827
4.5978 6.2533 938 10.0826
4.5376 6.2667 940 10.0826
4.4748 6.28 942 10.0826
4.5317 6.2933 944 10.0826
4.5192 6.3067 946 10.0826
4.5374 6.32 948 10.0827
4.4732 6.3333 950 10.0827
4.4496 6.3467 952 10.0828
4.5118 6.36 954 10.0828
4.4722 6.3733 956 10.0828
4.5443 6.3867 958 10.0828
4.407 6.4 960 10.0828
4.5284 6.4133 962 10.0827
4.4682 6.4267 964 10.0827
4.5642 6.44 966 10.0827
4.5256 6.4533 968 10.0827
4.5182 6.4667 970 10.0827
4.5824 6.48 972 10.0826
4.542 6.4933 974 10.0825
4.3906 6.5067 976 10.0824
4.6096 6.52 978 10.0824
4.6145 6.5333 980 10.0823
4.5128 6.5467 982 10.0823
4.5066 6.5600 984 10.0823
4.5442 6.5733 986 10.0823
4.5083 6.5867 988 10.0823
4.4607 6.6 990 10.0823
4.4718 6.6133 992 10.0823
4.4227 6.6267 994 10.0823
4.5171 6.64 996 10.0823
4.5532 6.6533 998 10.0822
4.4576 6.6667 1000 10.0822
4.4971 6.68 1002 10.0821
4.4647 6.6933 1004 10.0819
4.4646 6.7067 1006 10.0819
4.5331 6.72 1008 10.0818
4.45 6.7333 1010 10.0818
4.4731 6.7467 1012 10.0818
4.5177 6.76 1014 10.0817
4.5444 6.7733 1016 10.0817
4.6044 6.7867 1018 10.0816
4.6105 6.8 1020 10.0815
4.5786 6.8133 1022 10.0814
4.4749 6.8267 1024 10.0813
4.5384 6.84 1026 10.0813
4.5034 6.8533 1028 10.0812
4.4696 6.8667 1030 10.0812
4.4341 6.88 1032 10.0812
4.5323 6.8933 1034 10.0813
4.4929 6.9067 1036 10.0812
4.4103 6.92 1038 10.0812
4.4176 6.9333 1040 10.0813
4.6159 6.9467 1042 10.0813
4.5646 6.96 1044 10.0813
4.5855 6.9733 1046 10.0813
4.4977 6.9867 1048 10.0812
4.5779 7.0 1050 10.0812
4.4322 7.0133 1052 10.0812
4.4626 7.0267 1054 10.0811
4.5158 7.04 1056 10.0811
4.4401 7.0533 1058 10.0810
4.5392 7.0667 1060 10.0810
4.3086 7.08 1062 10.0809
4.5261 7.0933 1064 10.0808
4.4982 7.1067 1066 10.0806
4.4799 7.12 1068 10.0806
4.4396 7.1333 1070 10.0806
4.537 7.1467 1072 10.0806
4.5716 7.16 1074 10.0807
4.5369 7.1733 1076 10.0807
4.4797 7.1867 1078 10.0807
4.4942 7.2 1080 10.0807
4.4966 7.2133 1082 10.0806
4.5611 7.2267 1084 10.0805
4.5248 7.24 1086 10.0805
4.4882 7.2533 1088 10.0803
4.5391 7.2667 1090 10.0803
4.5252 7.28 1092 10.0802
4.5423 7.2933 1094 10.0803
4.4333 7.3067 1096 10.0803
4.5494 7.32 1098 10.0804
4.4878 7.3333 1100 10.0804
4.5564 7.3467 1102 10.0804
4.5479 7.36 1104 10.0805
4.3784 7.3733 1106 10.0805
4.5166 7.3867 1108 10.0805
4.6188 7.4 1110 10.0805
4.4945 7.4133 1112 10.0804
4.5339 7.4267 1114 10.0804
4.4972 7.44 1116 10.0804
4.511 7.4533 1118 10.0804
4.48 7.4667 1120 10.0804
4.543 7.48 1122 10.0803
4.4549 7.4933 1124 10.0803
4.6075 7.5067 1126 10.0803
4.5291 7.52 1128 10.0803
4.5056 7.5333 1130 10.0803
4.5458 7.5467 1132 10.0803
4.5269 7.5600 1134 10.0804
4.5245 7.5733 1136 10.0804
4.5268 7.5867 1138 10.0805
4.4687 7.6 1140 10.0805
4.5181 7.6133 1142 10.0806
4.5211 7.6267 1144 10.0807
4.4878 7.64 1146 10.0808
4.5733 7.6533 1148 10.0808
4.5269 7.6667 1150 10.0809
4.4863 7.68 1152 10.0809
4.5988 7.6933 1154 10.0809
4.5421 7.7067 1156 10.0810
4.4844 7.72 1158 10.0810
4.507 7.7333 1160 10.0811
4.5211 7.7467 1162 10.0811
4.3269 7.76 1164 10.0812
4.5513 7.7733 1166 10.0812
4.5255 7.7867 1168 10.0812
4.5229 7.8 1170 10.0812
4.5031 7.8133 1172 10.0811
4.5165 7.8267 1174 10.0812
4.5122 7.84 1176 10.0812
4.501 7.8533 1178 10.0811
4.4985 7.8667 1180 10.0812
4.4658 7.88 1182 10.0812
4.5273 7.8933 1184 10.0812
4.5423 7.9067 1186 10.0812
4.5255 7.92 1188 10.0812
4.4473 7.9333 1190 10.0812
4.5417 7.9467 1192 10.0813
4.5772 7.96 1194 10.0813
4.5325 7.9733 1196 10.0813
4.5529 7.9867 1198 10.0813
4.5229 8.0 1200 10.0814
4.4882 8.0133 1202 10.0814
4.5008 8.0267 1204 10.0814
4.4513 8.04 1206 10.0814
4.5181 8.0533 1208 10.0814
4.501 8.0667 1210 10.0814
4.2932 8.08 1212 10.0814
4.5252 8.0933 1214 10.0814
4.48 8.1067 1216 10.0814
4.522 8.12 1218 10.0814
4.5676 8.1333 1220 10.0814
4.589 8.1467 1222 10.0814
4.475 8.16 1224 10.0814
4.5084 8.1733 1226 10.0814
4.4974 8.1867 1228 10.0815
4.4285 8.2 1230 10.0815
4.4656 8.2133 1232 10.0815
4.5709 8.2267 1234 10.0816
4.4712 8.24 1236 10.0817
4.5609 8.2533 1238 10.0817
4.5245 8.2667 1240 10.0818
4.4821 8.28 1242 10.0818
4.4912 8.2933 1244 10.0818
4.5026 8.3067 1246 10.0818
4.3747 8.32 1248 10.0818
4.5427 8.3333 1250 10.0817
4.4499 8.3467 1252 10.0817
4.4864 8.36 1254 10.0817
4.4935 8.3733 1256 10.0816
4.4979 8.3867 1258 10.0815
4.5575 8.4 1260 10.0814
4.4815 8.4133 1262 10.0814
4.5001 8.4267 1264 10.0813
4.4767 8.44 1266 10.0813
4.5063 8.4533 1268 10.0812
4.4797 8.4667 1270 10.0812
4.6695 8.48 1272 10.0811
4.5586 8.4933 1274 10.0811
4.4612 8.5067 1276 10.0811
4.5756 8.52 1278 10.0811
4.5437 8.5333 1280 10.0811
4.4484 8.5467 1282 10.0811
4.6015 8.56 1284 10.0812
4.4626 8.5733 1286 10.0812
4.4443 8.5867 1288 10.0811
4.5031 8.6 1290 10.0811
4.5138 8.6133 1292 10.0811
4.5702 8.6267 1294 10.0810
4.5529 8.64 1296 10.0810
4.4987 8.6533 1298 10.0810
4.4904 8.6667 1300 10.0810
4.4805 8.68 1302 10.0809
4.5267 8.6933 1304 10.0809
4.4707 8.7067 1306 10.0809
4.4532 8.72 1308 10.0809
4.5555 8.7333 1310 10.0810
4.419 8.7467 1312 10.0810
4.4268 8.76 1314 10.0810
4.5148 8.7733 1316 10.0810
4.4611 8.7867 1318 10.0810
4.4491 8.8 1320 10.0810
4.4779 8.8133 1322 10.0810
4.5728 8.8267 1324 10.0811
4.5084 8.84 1326 10.0811
4.4257 8.8533 1328 10.0811
4.4467 8.8667 1330 10.0811
4.6206 8.88 1332 10.0811
4.4724 8.8933 1334 10.0811
4.5613 8.9067 1336 10.0811
4.4891 8.92 1338 10.0811
4.5502 8.9333 1340 10.0811
4.4949 8.9467 1342 10.0811
4.4939 8.96 1344 10.0811
4.5501 8.9733 1346 10.0811
4.4193 8.9867 1348 10.0811
4.5714 9.0 1350 10.0811
4.5785 9.0133 1352 10.0811
4.4798 9.0267 1354 10.0811
4.4346 9.04 1356 10.0811
4.4867 9.0533 1358 10.0811
4.5249 9.0667 1360 10.0811
4.5694 9.08 1362 10.0811
4.4998 9.0933 1364 10.0811
4.451 9.1067 1366 10.0811
4.5109 9.12 1368 10.0811
4.5374 9.1333 1370 10.0811
4.4574 9.1467 1372 10.0811
4.5282 9.16 1374 10.0812
4.4572 9.1733 1376 10.0812
4.4568 9.1867 1378 10.0812
4.5027 9.2 1380 10.0812
4.5006 9.2133 1382 10.0812
4.5186 9.2267 1384 10.0812
4.5342 9.24 1386 10.0812
4.5245 9.2533 1388 10.0812
4.3806 9.2667 1390 10.0812
4.4991 9.28 1392 10.0812
4.4938 9.2933 1394 10.0811
4.5124 9.3067 1396 10.0811
4.5648 9.32 1398 10.0811
4.4494 9.3333 1400 10.0811
4.4762 9.3467 1402 10.0811
4.4916 9.36 1404 10.0811
4.5835 9.3733 1406 10.0811
4.5769 9.3867 1408 10.0811
4.5128 9.4 1410 10.0810
4.4905 9.4133 1412 10.0810
4.5325 9.4267 1414 10.0811
4.5229 9.44 1416 10.0811
4.5037 9.4533 1418 10.0811
4.4705 9.4667 1420 10.0811
4.4419 9.48 1422 10.0811
4.5376 9.4933 1424 10.0811
4.5424 9.5067 1426 10.0811
4.4665 9.52 1428 10.0811
4.4978 9.5333 1430 10.0811
4.4718 9.5467 1432 10.0811
4.4661 9.56 1434 10.0811
4.4298 9.5733 1436 10.0811
4.5356 9.5867 1438 10.0811
4.5357 9.6 1440 10.0811
4.5361 9.6133 1442 10.0811
4.4925 9.6267 1444 10.0811
4.5342 9.64 1446 10.0811
4.4856 9.6533 1448 10.0811
4.5232 9.6667 1450 10.0811
4.509 9.68 1452 10.0811
4.5488 9.6933 1454 10.0811
4.5325 9.7067 1456 10.0811
4.4715 9.72 1458 10.0812
4.4939 9.7333 1460 10.0811
4.5249 9.7467 1462 10.0811
4.4374 9.76 1464 10.0811
4.5617 9.7733 1466 10.0812
4.4823 9.7867 1468 10.0812
4.4692 9.8 1470 10.0812
4.4439 9.8133 1472 10.0812
4.4725 9.8267 1474 10.0812
4.4995 9.84 1476 10.0812
4.455 9.8533 1478 10.0812
4.4025 9.8667 1480 10.0812
4.4283 9.88 1482 10.0812
4.5785 9.8933 1484 10.0811
4.4846 9.9067 1486 10.0811
4.528 9.92 1488 10.0811
4.4948 9.9333 1490 10.0811
4.4395 9.9467 1492 10.0811
4.5151 9.96 1494 10.0811
4.5765 9.9733 1496 10.0811
4.5282 9.9867 1498 10.0811
4.5143 10.0 1500 10.0811

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.3.1
  • Tokenizers 0.21.0
Downloads last month
10
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.

Model tree for Harshini2004/LLM-Telugu-English

Adapter
(109)
this model